The revolutionary breakthroughs in Machine Learning (ML) and Artificial Intelligence (AI) are
extensively being harnessed across a diverse range of domains, eg, forensic science …

With the rapid development of deep learning techniques, the generation and counterfeiting
of multimedia material has become increasingly simple. Current technology enables the …

Instrument activity detection is a fundamental task in music information retrieval, serving as a
basis for many applications, such as music recommendation, music tagging, or remixing …

This paper introduces the Wagner Ring Dataset (WRD), a multi-modal and multi-version
resource on the large-scale opera cycle Der Ring des Nibelungen by Richard Wagner. The …

Piano cover generation aims to create a piano cover from a pop song. Existing approaches
mainly employ supervised learning and the training demands strongly-aligned and paired …

Several MIR applications require fine-grained note alignments between MIDI performances
and their musical scores for training and evaluation. However, large and high-quality …

In this work, we address the novel and rarely considered source separation task of
decomposing piano concerto recordings into separate piano and orchestral tracks. Being a …

ABSTRACT Multi-pitch estimation (MPE), the task of detecting active pitches within a
polyphonic music recording, has garnered significant research interest in recent years. Most …

Deep learning has significantly advanced music source separation (MSS), aiming to
decompose music recordings into individual tracks corresponding to singing or specific …

This paper introduces the Beethoven Piano Sonata Dataset (BPSD), a multi-version dataset
focusing on the first movements of Beethoven's 32 piano sonatas. Recognized as pivotal …